[1]} revisited the problem of calibrating Antarctic ice sheet computer models with the goal of improving forecasts of sea-level rise due to ice loss. In contrast to previously summarised approaches at Antarctica, [1]} used a parallelisable particle-sampling algorithm for Bayesian computation, dubbed adaptive particle sampling, for reducing computation times. As in [3]}, the PSU3D-ICE model of ice flow was used, though data from the Pliocene era were incorporated into the approach as well.
